Class information for: |
Basic class information |
Class id | #P | Avg. number of references |
Database coverage of references |
---|---|---|---|
6105 | 1529 | 26.0 | 39% |
Hierarchy of classes |
The table includes all classes above and classes immediately below the current class. |
Cluster id | Level | Cluster label | #P |
---|---|---|---|
1 | 4 | ECONOMICS//EDUCATION & EDUCATIONAL RESEARCH//PSYCHOL | 3876184 |
433 | 3 | TRANSPORTATION SCIENCE & TECHNOLOGY//TRANSPORTATION//TRANSPORTATION RESEARCH RECORD | 27260 |
897 | 2 | TRANSPORTATION SCIENCE & TECHNOLOGY//TRAFFIC FLOW//TRANSPORTATION RESEARCH PART B-METHODOLOGICAL | 11331 |
6105 | 1 | TRANSPORTATION SCIENCE & TECHNOLOGY//TRAVEL TIME PREDICTION//TRAVEL TIME ESTIMATION | 1529 |
Terms with highest relevance score |
rank | Term | termType | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|---|
1 | TRANSPORTATION SCIENCE & TECHNOLOGY | WoSSC | 526748 | 73% | 2% | 1122 |
2 | TRAVEL TIME PREDICTION | authKW | 524628 | 2% | 77% | 34 |
3 | TRAVEL TIME ESTIMATION | authKW | 483235 | 2% | 73% | 33 |
4 | INCIDENT DETECTION | authKW | 383397 | 2% | 80% | 24 |
5 | TRAFFIC FLOW FORECASTING | authKW | 380362 | 1% | 95% | 20 |
6 | TRAFFIC FLOW PREDICTION | authKW | 338699 | 1% | 81% | 21 |
7 | VEHICLE REIDENTIFICATION | authKW | 300709 | 1% | 94% | 16 |
8 | TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES | journal | 290992 | 10% | 10% | 152 |
9 | TRAFFIC STATE ESTIMATION | authKW | 231058 | 1% | 64% | 18 |
10 | TRAFFIC SURVEILLANCE | authKW | 204572 | 2% | 41% | 25 |
Web of Science journal categories |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | Transportation Science & Technology | 526748 | 73% | 2% | 1122 |
2 | Engineering, Civil | 58430 | 53% | 0% | 817 |
3 | Transportation | 17560 | 10% | 1% | 160 |
4 | Computer Science, Artificial Intelligence | 857 | 7% | 0% | 103 |
5 | Computer Science, Interdisciplinary Applications | 814 | 7% | 0% | 104 |
6 | Operations Research & Management Science | 594 | 5% | 0% | 75 |
7 | Engineering, Electrical & Electronic | 539 | 13% | 0% | 204 |
8 | Construction & Building Technology | 251 | 2% | 0% | 37 |
9 | Economics | 138 | 4% | 0% | 65 |
10 | Engineering, General | 123 | 3% | 0% | 41 |
Address terms |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | INTELLIGENT TRANSPORTAT SYST | 60547 | 1% | 16% | 19 |
2 | SMART TRANSPORT | 57040 | 1% | 29% | 10 |
3 | WEISBERG ENGN COMP SCI | 44929 | 0% | 75% | 3 |
4 | BLOCKER STAT | 39938 | 0% | 100% | 2 |
5 | HIGHWAY TRANSPORT | 39938 | 0% | 100% | 2 |
6 | NAZARABAD | 39938 | 0% | 100% | 2 |
7 | TRANSNOW | 39938 | 0% | 100% | 2 |
8 | FUTURE URBAN MOBIL | 39934 | 0% | 50% | 4 |
9 | CIVIL ENVIRONM ENGN GEODET SCI | 35630 | 2% | 7% | 27 |
10 | TRANSPORTAT ENGN | 34834 | 3% | 4% | 45 |
Journals |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES | 290992 | 10% | 10% | 152 |
2 | JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS | 184328 | 3% | 19% | 49 |
3 | IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS | 170635 | 8% | 7% | 124 |
4 | TRANSPORTATION RESEARCH RECORD | 145191 | 16% | 3% | 251 |
5 | TRANSPORTATION RESEARCH RECORD-SERIES | 108301 | 9% | 4% | 140 |
6 | IET INTELLIGENT TRANSPORT SYSTEMS | 90035 | 3% | 9% | 49 |
7 | JOURNAL OF TRANSPORTATION ENGINEERING-ASCE | 74893 | 5% | 5% | 78 |
8 | JOURNAL OF ADVANCED TRANSPORTATION | 33432 | 2% | 5% | 31 |
9 | JOURNAL OF TRANSPORTATION ENGINEERING | 33239 | 2% | 5% | 36 |
10 | COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING | 29876 | 2% | 4% | 34 |
Author Key Words |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
LCSH search | Wikipedia search |
---|---|---|---|---|---|---|---|
1 | TRAVEL TIME PREDICTION | 524628 | 2% | 77% | 34 | Search TRAVEL+TIME+PREDICTION | Search TRAVEL+TIME+PREDICTION |
2 | TRAVEL TIME ESTIMATION | 483235 | 2% | 73% | 33 | Search TRAVEL+TIME+ESTIMATION | Search TRAVEL+TIME+ESTIMATION |
3 | INCIDENT DETECTION | 383397 | 2% | 80% | 24 | Search INCIDENT+DETECTION | Search INCIDENT+DETECTION |
4 | TRAFFIC FLOW FORECASTING | 380362 | 1% | 95% | 20 | Search TRAFFIC+FLOW+FORECASTING | Search TRAFFIC+FLOW+FORECASTING |
5 | TRAFFIC FLOW PREDICTION | 338699 | 1% | 81% | 21 | Search TRAFFIC+FLOW+PREDICTION | Search TRAFFIC+FLOW+PREDICTION |
6 | VEHICLE REIDENTIFICATION | 300709 | 1% | 94% | 16 | Search VEHICLE+REIDENTIFICATION | Search VEHICLE+REIDENTIFICATION |
7 | TRAFFIC STATE ESTIMATION | 231058 | 1% | 64% | 18 | Search TRAFFIC+STATE+ESTIMATION | Search TRAFFIC+STATE+ESTIMATION |
8 | TRAFFIC SURVEILLANCE | 204572 | 2% | 41% | 25 | Search TRAFFIC+SURVEILLANCE | Search TRAFFIC+SURVEILLANCE |
9 | TRAFFIC FORECASTING | 198988 | 1% | 59% | 17 | Search TRAFFIC+FORECASTING | Search TRAFFIC+FORECASTING |
10 | SHORT TERM TRAFFIC PREDICTION | 179722 | 1% | 100% | 9 | Search SHORT+TERM+TRAFFIC+PREDICTION | Search SHORT+TERM+TRAFFIC+PREDICTION |
Core articles |
The table includes core articles in the class. The following variables is taken into account for the relevance score of an article in a cluster c: (1) Number of references referring to publications in the class. (2) Share of total number of active references referring to publications in the class. (3) Age of the article. New articles get higher score than old articles. (4) Citation rate, normalized to year. |
Rank | Reference | # ref. in cl. |
Shr. of ref. in cl. |
Citations |
---|---|---|---|---|
1 | VLAHOGIANNI, EI , KARLAFTIS, MG , GOLIAS, JC , (2014) SHORT-TERM TRAFFIC FORECASTING: WHERE WE ARE AND WHERE WE'RE GOING.TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES. VOL. 43. ISSUE . P. 3 -19 | 128 | 88% | 72 |
2 | YAO, BZ , CHEN, C , CAO, QD , JIN, L , ZHANG, MH , ZHU, HB , YU, B , (2017) SHORT-TERM TRAFFIC SPEED PREDICTION FOR AN URBAN CORRIDOR.COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING. VOL. 32. ISSUE 2. P. 154 -169 | 33 | 62% | 5 |
3 | ALVAREZ, M , LOZANO, JA , MORI, U , MENDIBURU, A , (2015) A REVIEW OF TRAVEL TIME ESTIMATION AND FORECASTING FOR ADVANCED TRAVELLER INFORMATION SYSTEMS.TRANSPORTMETRICA A-TRANSPORT SCIENCE. VOL. 11. ISSUE 2. P. 119 -157 | 58 | 77% | 10 |
4 | LV, YS , DUAN, YJ , KANG, WW , LI, ZX , WANG, FY , (2015) TRAFFIC FLOW PREDICTION WITH BIG DATA: A DEEP LEARNING APPROACH.IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS. VOL. 16. ISSUE 2. P. 865 -873 | 37 | 88% | 32 |
5 | MA, XL , TAO, ZM , WANG, YH , YU, HY , WANG, YP , (2015) LONG SHORT-TERM MEMORY NEURAL NETWORK FOR TRAFFIC SPEED PREDICTION USING REMOTE MICROWAVE SENSOR DATA.TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES. VOL. 54. ISSUE . P. 187 -197 | 40 | 91% | 9 |
6 | OH, S , BYON, YJ , JANG, K , YEO, H , (2015) SHORT-TERM TRAVEL-TIME PREDICTION ON HIGHWAY: A REVIEW OF THE DATA-DRIVEN APPROACH.TRANSPORT REVIEWS. VOL. 35. ISSUE 1. P. 4 -32 | 42 | 93% | 4 |
7 | GUO, JH , HUANG, W , WILLIAMS, BM , (2014) ADAPTIVE KALMAN FILTER APPROACH FOR STOCHASTIC SHORT-TERM TRAFFIC FLOW RATE PREDICTION AND UNCERTAINTY QUANTIFICATION.TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES. VOL. 43. ISSUE . P. 50 -64 | 38 | 90% | 16 |
8 | FUSCO, G , COLOMBARONI, C , ISAENKO, N , (2016) SHORT-TERM SPEED PREDICTIONS EXPLOITING BIG DATA ON LARGE URBAN ROAD NETWORKS.TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES. VOL. 73. ISSUE . P. 183 -201 | 43 | 83% | 0 |
9 | JIANG, H , ZOU, YJ , ZHANG, S , TANG, JJ , WANG, YH , (2016) SHORT-TERM SPEED PREDICTION USING REMOTE MICROWAVE SENSOR DATA: MACHINE LEARNING VERSUS STATISTICAL MODEL.MATHEMATICAL PROBLEMS IN ENGINEERING. VOL. . ISSUE . P. - | 27 | 93% | 4 |
10 | XIA, DW , WANG, BF , LI, HQ , LI, YT , ZHANG, ZL , (2016) A DISTRIBUTED SPATIAL-TEMPORAL WEIGHTED MODEL ON MAPREDUCE FOR SHORT-TERM TRAFFIC FLOW FORECASTING.NEUROCOMPUTING. VOL. 179. ISSUE . P. 246 -263 | 34 | 74% | 4 |
Classes with closest relation at Level 1 |